Acute rupture of hydatid cysts in the peritoneum: 17 cases von Beyrouti, Mohamed Issam, Beyrouti, Ramez, Abbes, Imed, Kharrat, Madiha, Ben Amar, Mohamed, Frikha, Foued, Elleuch, Slim, Gharbi, Walid, Chaabouni, Mohamed, Ghorbel, Ali

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Rupture aiguë du kyste hydatique dans le péritoine von Beyrouti, Mohamed Issam, Beyrouti, Ramez, Abbes, Imed, Kharrat, Madiha, Ben Amar, Mohamed, Frikha, Foued, Elleuch, Slim, Gharbi, Walid, Chaabouni, Mohamed, Ghorbel, Ali

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Rupture aiguë du kyste hydatique dans le péritoine : À propos de 17 observations von MOHAMED ISSAM BEYROUTI, BEYROUTI, Ramez, ABBES, Imed, KHANAT, Madiha, BEN AMAR, Mohamed, FRIKHA, Foued, ELLEUCH, Slim, GHARBI, Walid, CHAABOUNI, Mohamed, GHORBEL, Ali

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Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review von Rhif, Manel, Ben Abbes, Ali, Farah, Imed, Martínez, Beatriz, Sang, Yanfang

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Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification von Sellami, Akrem, Ben Abbes, Ali, Barra, Vincent, Farah, Imed Riadh

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Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review von Ferchichi, Aya, Abbes, Ali Ben, Barra, Vincent, Farah, Imed Riadh

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Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model von Rhif, Manel, Abbes, Ali Ben, Martínez, Beatriz, Farah, Imed Riadh

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A Novel Teacher-Student Framework for Soil Moisture Retrieval by Combining Sentinel-1 and Sentinel-2: Application in Arid Regions von Jarray, Noureddine, Abbes, Ali Ben, Farah, Imed Riadh

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Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series von Ferchichi, Aya, Abbes, Ali Ben, Barra, Vincent, Rhif, Manel, Farah, Imed Riadh

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Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series von Abidi, Azza, Ienco, Dino, Abbes, Ali Ben, Farah, Imed Riadh

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A Bi-GRU-based encoder–decoder framework for multivariate time series forecasting von Balti, Hanen, Ben Abbes, Ali, Farah, Imed Riadh

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An improved trend vegetation analysis for non-stationary NDVI time series based on wavelet transform von Rhif, Manel, Ben Abbes, Ali, Martinez, Beatriz, Farah, Imed Riadh

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A review of drought monitoring with big data: Issues, methods, challenges and research directions von Balti, Hanen, Ben Abbes, Ali, Mellouli, Nedra, Farah, Imed Riadh, Sang, Yanfang, Lamolle, Myriam

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Advances in remote sensing based soil moisture retrieval: applications, techniques, scales and challenges for combining machine learning and physical models von Abbes, Ali Ben, Jarray, Noureddine, Farah, Imed Riadh

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Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network von Abidi, Azza, Ienco, Dino, Ben Abbes, Ali, Farah, Imed Riadh

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Machine learning for food security: current status, challenges, and future perspectives von Jarray, Noureddine, Abbes, Ali Ben, Farah, Imed Riadh

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Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring von Balti, Hanen, Abbes, Ali Ben, Mellouli, Nedra, Farah, Imed Riadh, Sang, Yanfang, Lamolle, Myriam

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SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods von Jarray, Noureddine, Ben Abbes, Ali, Rhif, Manel, Dhaou, Hanen, Ouessar, Mohamed, Farah, Imed Riadh

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Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting von Balti, Hanen, Ben Abbes, Ali, Sang, Yanfang, Mellouli, Nedra, Farah, Imed Riadh

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Comparative study of three satellite image time-series decomposition methods for vegetation change detection von Ben Abbes, Ali, Bounouh, Oumayma, Farah, Imed Riadh, de Jong, Rogier, Martínez, Beatriz

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